Fleisig, Eve

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination

Fleisig, E., Smith, G., Bossi, M., Rustagi, I., Yin, X., & Klein, D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AILinguistic Variation and Morphology

Cited by 64

Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Verma, V., Fleisig, E., Tomlin, N., & Klein, D. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 56

Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Verma, V., Fleisig, E., Tomlin, N., & Klein, D. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 16

FairPrism: Evaluating Fairness-Related Harms in Text Generation

Fleisig, E., Amstutz, A., Atalla, C., Blodgett, S. L., Daumé III, H., Olteanu, A., Sheng, E., Vann, D., & Wallach, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models

Saphra, N., Fleisig, E., Cho, K., & Lopez, A. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1